Paper Citation Record · LEDGER

Neural-Network Quantum States: A Systematic Review

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2204.12966.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.12966 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:32:02.672773Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T01:16:25.075196Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 85398fba-fd58-4225-b873-881310ffe0e2 · inbound

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits cites this paper.

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits Neural-Network Quantum States: A Systematic Review

Reference 170

Resolution: verified exact; arxiv_id, observed 2026-05-18T22:41:36.739917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aeb98505-55fc-4224-aaef-9e3616c06e19 · inbound

Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications cites this paper.

Polynomially efficient quantum enabled variational Monte Carlo for training neural-network quantum states for physico-chemical applications Neural-Network Quantum States: A Systematic Review

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T14:12:40.858378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8007debe-e7f2-4cc1-bd10-9b8420c0e26f · inbound

Variational decision diagrams for quantum-inspired machine learning applications cites this paper.

Variational decision diagrams for quantum-inspired machine learning applications Neural-Network Quantum States: A Systematic Review

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:52:29.629680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 57937e31-2fb0-4cd0-930a-b9b7aa914920 · inbound

Projector, Neural, and Tensor-Network Representations of $\mathbb{Z}_N$ Cluster and Dipolar-cluster SPT States cites this paper.

Projector, Neural, and Tensor-Network Representations of $\mathbb{Z}_N$ Cluster and Dipolar-cluster SPT States Neural-Network Quantum States: A Systematic Review

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:10:57.968067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca2d3661-b055-4333-a4dd-be93db030f2c · inbound

Fast Tensor Network Imaginary Time Evolution by Implicit Stepping on Logarithmic Grids cites this paper.

Fast Tensor Network Imaginary Time Evolution by Implicit Stepping on Logarithmic Grids Neural-Network Quantum States: A Systematic Review

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-07-02T01:16:25.076656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f52a66d6-7e39-4284-8ad2-a9d694c6e119 · inbound

Symmetry Constraints Regularize Neural Quantum State Learning cites this paper.

Symmetry Constraints Regularize Neural Quantum State Learning Neural-Network Quantum States: A Systematic Review

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T04:32:02.672773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.